{"id":52569,"date":"2019-11-11T00:00:00","date_gmt":"2019-11-10T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/otkryt-kod-spleeter-sistemy-dlya-razdeleniya-muzyki-i-golosa"},"modified":"2020-02-18T14:00:20","modified_gmt":"2020-02-18T11:00:20","slug":"otkryt-kod-spleeter-sistemy-dlya-razdeleniya-muzyki-i-golosa","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/news\/otkryt-kod-spleeter-sistemy-dlya-razdeleniya-muzyki-i-golosa","title":{"rendered":"Kodi i Spleeter, sistem p\u00ebr ndarjen e muzik\u00ebs dhe z\u00ebrit \u00ebsht\u00eb hapur","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Ofruesi i transmetimit t\u00eb muzik\u00ebs Deezer ka hapur<\/a><\/noindex> tekste burimore t\u00eb projektit eksperimental Spleeter, q\u00eb zhvillon nj\u00eb sistem m\u00ebsimi automatik p\u00ebr ndarjen e burimeve t\u00eb z\u00ebrit nga kompozita muzikore t\u00eb komplikuara. Programi lejon heqjen e vokalit nga kompozita dhe l\u00eb vet\u00ebm shoq\u00ebrimin muzikor, manipulimin e tingujve t\u00eb instrumenteve t\u00eb ve\u00e7anta ose heqjen e muzik\u00ebs dhe l\u00ebnien e z\u00ebrit p\u00ebr vendosjen mbi nj\u00eb rresht tjet\u00ebr z\u00ebri, krijimin e mikseve, karaoke ose transkriptimeve. Kodi i projektit \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Python duke p\u00ebrdorur motorin Tensorflow dhe distribuohet<\/a><\/noindex> n\u00eb p\u00ebrputhje me licenc\u00ebn MIT.<\/p>\n

P\u00ebr shkarkim ofruar<\/a><\/noindex> modelet e trajnuara tashm\u00eb p\u00ebr ndarjen e vokalit (nj\u00eb z\u00eb) nga shoq\u00ebrimi, si dhe p\u00ebr ndarjen n\u00eb 4 dhe 5 rryma, duke p\u00ebrfshir\u00eb vokalin, baterit\u00eb, baset, pianon dhe tingullin tjet\u00ebr. Spleeter mund t\u00eb aplikohet si nj\u00eb bibliotek\u00eb Python, ashtu edhe n\u00eb form\u00ebn e nj\u00eb utilitari t\u00eb ve\u00e7ant\u00eb n\u00eb linj\u00eb komandash. N\u00eb rastin m\u00eb t\u00eb thjesht\u00eb, duke u bazuar n\u00eb skedarin burimor krijohet<\/a><\/noindex> dy, kat\u00ebr ose pes\u00eb skedar\u00eb me z\u00ebrin dhe p\u00ebrb\u00ebr\u00ebsit nga shoq\u00ebrimi (vocals.wav, drums.wav, bass.wav, piano.wav, other.wav).<\/p>\n

N\u00eb ndarjen n\u00eb 2 dhe 4 rryma, Spleeter siguron nj\u00eb performanc\u00eb shum\u00eb t\u00eb lart\u00eb, p\u00ebr shembull, duke angazhuar GPU, ndarja e skedarit audio n\u00eb 4 rryma merr 100 her\u00eb m\u00eb pak koh\u00eb se sa zgjat koha e kompozit\u00ebs burimore. N\u00eb nj\u00eb sistem me GPU NVIDIA GeForce GTX 1080 dhe CPU Intel Xeon Gold 6134 me 32 b\u00ebrthama, p\u00ebrpunimi i koleksionit testues musDB, me nj\u00eb gjat\u00ebsi prej tre or\u00ebsh e 27 minutash, u realizua p\u00ebr 90 sekonda.<\/p>\n

\"Kodi<\/a><\/noindex><\/center><\/p>\n


\n<\/p>\n


\n<\/center><\/p>\n

Si avantazh i Spleeter, krahasuar me zhvillime t\u00eb tjera n\u00eb fush\u00ebn e ndarjes s\u00eb z\u00ebrit, si projekti i hapur Open-Unmix<\/a><\/noindex>, p\u00ebrmendet p\u00ebrdorimi i modeleve m\u00eb cil\u00ebsore, t\u00eb nd\u00ebrtuara mbi nj\u00eb koleksion t\u00eb gjer\u00eb t\u00eb skedar\u00ebve audio. P\u00ebr shkak t\u00eb kufizimeve t\u00eb t\u00eb drejtave t\u00eb autorit, studiuesit n\u00eb fush\u00ebn e m\u00ebsimit automatik kan\u00eb t\u00eb kufizuar qasjen n\u00eb koleksione muzikore publike mjaft t\u00eb varfra, nd\u00ebrsa p\u00ebr Spleeter modelet jan\u00eb nd\u00ebrtuar duke p\u00ebrfshir\u00eb t\u00eb dh\u00ebna nga nj\u00eb katalog t\u00eb gjer\u00eb muzikor Deezer. <\/p>\n

Sipas krahasuar<\/a><\/noindex> me Open-Unmix, mjeti Spleeter kryen ndarjen rreth 35% m\u00eb shpejt gjat\u00eb testeve n\u00eb CPU, mb\u00ebshtet skedar\u00ebt MP3 dhe gjeneron nj\u00eb rezultat duksh\u00ebm m\u00eb cil\u00ebsor (gjat\u00eb ve\u00e7imit t\u00eb z\u00ebrit n\u00eb Open-Unmix mbeten gjurm\u00eb t\u00eb disa instrumenteve, gj\u00eb q\u00eb ndoshta shpjegohet nga fakti se modelet Open-Unmix jan\u00eb trajnuar n\u00eb nj\u00eb koleksion prej vet\u00ebm 150 kompozitash). <\/p>\n

<\/a><\/noindex><\/p>\n

Burimi: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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